Evidence map›Paper›PMID 34252184›Full record

ArticleTransactions of the Royal Society of Tropical Medicine and Hygiene2022

Deaths due to COVID-19 in a state of northeastern Brazil: spatiotemporal distribution, sociodemographic and clinical and operational characteristics.

Weslei Melo da Silva, Paula Dos Santos Brito, Giana Gislanne da Silva de Sousa, Livia Fernanda Siqueira Santos, Janiel Conceição da Silva, Ana Cristina Pereira de Jesus Costa, Livia Maia Pascoal, Floriacy Stabnow Santos, Iolanda Graepp Fontoura, Jaisane Santos Melo Lobato and 4 more

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Article in Transactions of the Royal Society of Tropical Medicine and Hygiene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Weslei Melo da SilvaNursing Graduate Program, Federal University of Maranhão, São Luís, Brazil.
Paula Dos Santos BritoHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Giana Gislanne da Silva de SousaNursing Graduate Program, Federal University of Maranhão, São Luís, Brazil.
Livia Fernanda Siqueira SantosHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Janiel Conceição da SilvaHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Ana Cristina Pereira de Jesus CostaHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Livia Maia PascoalNursing Graduate Program, Federal University of Maranhão, São Luís, Brazil.
Floriacy Stabnow SantosHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Iolanda Graepp FontouraCenter of Social Sciences, Health and Technology, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.ORCID 0000-0002-9201-480X
Jaisane Santos Melo LobatoCenter of Social Sciences, Health and Technology, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Volmar Morais FontouraNursing Department, State University of Tocantins, Augustinópolis, Tocantins, Brazil.
Ana Lucia Fernandes PereiraHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Leonardo Hunaldo Dos SantosHealth and Technology Graduate Program, Federal University of Maranhão, Imperatriz, Maranhão, Brazil.
Marcelino Santos NetoNursing Graduate Program, Federal University of Maranhão, São Luís, Brazil.ORCID 0000-0002-6105-1886

Funding

Coordination for the Improvement of Higher Education Personnel 001Foundation for Research and Scientific and Technological Development of Maranhão COVID-19-00812/20
6 · The paper itself

Abstract

backgroundThe detection of spatiotemporal clusters of deaths by coronavirus disease 2019 (COVID-19) is essential for health systems and services, as it contributes to the allocation of resources and helps in effective decision making aimed at disease control and surveillance. Thus we aim to analyse the spatiotemporal distribution and describe sociodemographic and clinical and operational characteristics of COVID-19-related deaths in a Brazilian state.

methodsA descriptive and ecological study was carried out in the state of Maranhão. The study population consisted of deaths by COVID-19 in the period from 29 March to 31 July 2020. The detection of spatiotemporal clusters was performed by spatiotemporal scan analysis.

resultsA total of 3001 deaths were analysed with an average age of 69 y, predominantly in males, of brown ethnicity, with arterial hypertension and diabetes, diagnosed mainly by reverse transcription polymerase chain reaction in public laboratories. The crude mortality rates the municipalities ranged from 0.00 to 102.24 deaths per 100 000 inhabitants and three spatiotemporal clusters of high relative risk were detected, with a mortality rate ranging from 20.25 to 91.49 deaths per 100 000 inhabitants per month. The headquarters was the metropolitan region of São Luís and municipalities with better socio-economic and health development.

conclusionsThe heterogeneous spatiotemporal distribution and the sociodemographic and clinical and operational characteristics of deaths by COVID-19 point to the need for interventions.

Indexed as

COVID-19AgedBrazilCitiesHumansMaleSARS-CoV-2Spatio-Temporal Analysiscoronavirus infectionsCOVID-19epidemiologymortalityspatiotemporal analysis

Identifiers

PMID34252184
PMCPMC8344493

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